Clearpath Robotics highlights three accepted papers from ICRA 2026 in Vienna that use their robot platforms. The first presents FITAM, a self-supervised approach for far-field image-based traversability mapping deployed on a Warthog in forest environments. The second introduces SPLC, a social preference learning algorithm for crowd-aware robot navigation validated on a TurtleBot 4. The third proposes a shared human-robot controller for autonomous orchard monitoring with a Husky A200, blending trajectory tracking, collision avoidance, and human input.
Table of contents
Far-Field Image-Based Traversability Mapping for a Priori Unknown Natural EnvironmentSPLC: Social Preference Learning for Crowd Robot NavigationSmooth Human-Robot Shared Control for Autonomous Orchard Monitoring with UGVsSort: